– 159 -ORTOFOTOMAPS USE AND SYSTEM GNSS POSITION [617168]

Agricultura – Știință și practică nr. 3- 4(79-80)/2011

– 159 -ORTOFOTOMAPS USE AND SYSTEM GNSS POSITION
DETERMINATION ROMPOS PROJECT MANAGEMENT
MINE CLOSURE IN MARAMURE Ș COUNTY THE USE
OF GIS

Bădescu1) G., O. Stefan1), N. Pop2), M. Ortelecan2), M. Dîrja2) , Rodica Joldi ș2)
(Căs. Bădescu), T. S ălăgean2)
1) The North University of Baia Mare, Department Geodesy of Mines, V Babe ș, str nr. 62/A,
Baia Mare, Romania; email: [anonimizat]
2)University of Agricultural Sciences and Veterinary Medicines, Manastur, str. nr 3-5, Cluj-
Napoca, Romania.

Abstract . Is the use ortofotomaps and GNSS position determination system
ROMPOS, project management of mine closures , the current concern to policy makers in the
county of Maramures. In making decisions on mine closure project management can use
GNSS positioning systems positioning and target areas ortofotomaps scale 1:1000, 1:2000 or 1:5000. Good decisions in drafting mine closures has to their conservation and
environmental protection, and can be more easily taken knowingly when using ortofotomaps
and GNSS positioning systems ROMPOS with Information Systems Geographic, which are
indispensable in all fields, and particular ly in developing these projects. presented
previously are parts of GNSS positioning system ROMPOS, its use in decision making on projects of mine closures and benefits arising from this use in this area. In the final draw
general conclusions and specific to look at using GNSS positioning systems ROMPOS
ortofotomaps position determination and decision making on projects of mine closures, but the usefulness and speed in making decision systems using these relatively new in Romania,
and especially in Maramures county

Keywords :
ROMPOS, GNSS positioning, project management, Maramures county,
environmental protection, GIS.

INTRODUCTION

Is the use ortofotomaps and GN SS position determination system
ROMPOS, project management of mine closures, the current concern to policy
makers in the county of Maramures. In making decisions on mine closure project management can use GNSS positioning sy stems positioning and target areas
ortofotomaps scale 1:1000, 1:2000 or 1:5000. The data provided by the GPS system, type DGPS and RTK, could be used
in various applications, such as: positioni ng and monitoring of static or moving
objects, navigation, surface measurement, agriculture, environmental protection, land surveys, transportation etc. This ne w approach introduces the concept of GIS
manipulation for a decisional support, whic h implies a manipulation of the spatial
image, in order to ease the access of decision factors towards discovering, accessing and integrating geospatial information in support-decision scenarios, in numerous
domains.

Agricultura – Știință și practică nr. 3- 4(79-80)/2011

– 160 -MATERIAL AND METHOD

The area has a wide variety of land cover classes, including different levels
of urban development, industry, agriculture, forest land, mining, logging and many
bodies of water. Since this study focuses on the amount of urban versus non-use of developed land classes have been aggregated in the post-classification into four
general categories of land use: ur ban, rural, forest and water.
The images are GeoTIFF format and are products that have undergone radiometric correction, geometric and field. Also, the images were rectified to the
frames of the project stereographical 1970, and WGS84.
Home using ground control points using a cubic convolution method of resampling. The images were then pro cessed to create composite mosaic of the
study and perform supervised classification, in order to create maps for each year.
Classification method used for this study w as classified high risk, followed by a set
of post-classification routines including the combination of classes, and to reduce
sporadic and combine pixels adjacent similar pixels.
Classification process begins with selection of representative samples of
each class currently image. Prior knowledge , together with aerial imagery was used
to determine and select the training samples. For this study, the aim was to
determine the extent of surrounding urba n areas developed at the expense of rural
land and forest classification using known levels. However, for some classes of
images correctly classified are required to be divided into subclasses and then
combined to post-processing nivell I classification. Urban class was broken into two subclasses: one representing a highly developed urban landscape and dense low de nsity consisting of other areas were
mainly residential subdivisions and large single houses or similar structures.
Before forested areas were divided to classify healthy and densely wooded areas where previous logging or clearing le ft behind scrub / shrub vegetation type.
Finally, agricultural areas were divided into three subclasses: crops and lush pasture,
cultivated or exposed soil, and another class of recently harvested or unhealthy
vegetation / dormant.
In order to find a robust relationship between the two quantifier, statistical
and mathematical analysis of all major factors that can influence directly or transport emissions is required. To be truly meaningf ul, this type of study would require data
sets with similar spatial and temporal resolution / extent. Monitoring stations tend to be located around sources of pollution and adjacent neighborhoods. This is useful
for tracking pollution levels to be u sed in accordance with ensuring national
standards, but it does not allow us to obtain accurate regional perspective.
In order to find a robust relationship between the two quantifier, statistical
and mathematical analysis of all major factors that can influence directly or transport emissions is required. To be truly meaningf ul, this type of study would require data
sets with similar spatial and temporal resolution / extent. Monitoring stations tend to
be located around sources of pollution and adjacent neighborhoods. This is useful for tracking pollution levels to be u sed in accordance with ensuring national
standards, but it does not allow us to obtain accurate regional perspective.

Agricultura – Știință și practică nr. 3- 4(79-80)/2011

– 161 –

Fig.1. Area affected by pollution beca use of the hilly mining Maramures area

In order to find a robust relationship between the two quantifier, statistical
and mathematical analysis of all major factors that can influence directly or transport emissions is required. To be truly meaningf ul, this type of study would require data
sets with similar spatial and temporal resolution / extent. Monitoring stations tend to be located around sources of pollution and adjacent neighborhoods. This is useful for tracking pollution levels to be u sed in accordance with ensuring national
standards, but it does not allow us to obtain accurate regional perspective.
Given the location of monitoring sit es, we can see how satellite data and
orthophotomaps, may be useful in measuring particulate pollution in areas where limited or no ground monitors. Satellite details help to give us a regional map, which
is probably more accurate than interpol ation of scattered observations from ground
monitors. The result is a more complete picture of the pollution and allow us to
better correlate the changes over a larger area that would be difficult using surface
observations. Another possible enhancement to this study as the use of high quality data
sets and with a higher frequency of observation.
These maps would provide a detailed pict ure of land use in a different region
and allow a better determine the effects of certain land use changes may have on air
quality.
The ability to extend spatial and temporal coverage of data sets used in this
study, such as the above would greatly en hance the accuracy and usefulness of the
results on a regional scale.

CONCLUSIONS

Good decisions in drafting mine closures to their conservation and
environmental protection, and may be easier knowingly taken when using
ortofotomaps GNSS positioning systems and geographic information systems
ROMPOS, which are indispensable in all fi elds , especially in developing these

Agricultura – Știință și practică nr. 3- 4(79-80)/2011

– 162 -projects. above are part of GNSS positi oning system ROMPOS its use in decision
making on projects of mine closures and the benefits of this use in this area.
In the final draw general conclusions and specific to look at the use of
GNSS positioning ROMPOS ortofotomaps position determination and decision making on projects of mine closures, but the utility and speed in decision making using these new systems relative to Romania, and particularly in the Maramures county.

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